Things to do in Zhubei (TW)

Crowd levels and popular times for Zhubei : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated things to do.

歐浮找餐 博愛店 (Restaurant)
302, Taiwan, Hsinchu County, Zhubei City, Bo'ai St, 505號
4.5

歐浮找餐 博愛店 is most popular around 10 AM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

老菜櫥 (Chinese restaurant)
302, Taiwan, Hsinchu County, Zhubei City, Huaxing St, 205號
4.1

老菜櫥 is most popular around 12 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

小范海鮮饕宴館 (Seafood restaurant)
302, Taiwan, Hsinchu County, Zhubei City, Section 1, Huanbei Rd, 178號
4.0

小范海鮮饕宴館 is most popular around 6 PM on Sundays. Visitors usually stay 1,5-3,5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

昌平炸雞王 竹北仁義店 (Restaurant)
302, Taiwan, Hsinchu County, Zhubei City, Renyi Rd, 132號
4.9

昌平炸雞王 竹北仁義店 is most popular around 5 PM on Thursdays. It's most quiet on Thursdays.

Google Maps

大海豚骨拉麵(最後點餐時間或者公休日請參照臉書粉專) (Ramen restaurant)
302, Taiwan, Hsinchu County, Zhubei City, Wenxin Rd, 263號
4.1

Visitors usually stay 30 min here.

For more info visit the website or checkout Google Maps.

老范放山土雞 (Chinese restaurant)
302, Taiwan, Hsinchu County, Zhubei City, Zhongyang Rd, 58號
4.3

老范放山土雞 is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Zhubei, Taiwan. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.